Paper from CIDR’22, January 9-12, 2022, Chaminade, USA “This paper describes Mach, a pluggable storage engine we are building specifically to handle high-volum

Paper from CIDR’22, January 9-12, 2022, Chaminade, USA “This paper describes Mach, a pluggable storage engine we are building specifically to handle high-volume metrics data. Similar to many popular libraries (e.g., Berkeley DB, LevelDB, RocksDB, WiredTiger), Mach provides a simple API to store and retrieve data. Mach’s lean, loosely coordinated architecture aggressively leverages the characteristics of metrics data and observability work- loads, yielding an order-of-magnitude improvement over existing approaches—especially those marketed as ‘time series database systems’ (TSDBs). In fact, our preliminary results show that Mach can achieve nearly 10× higher write throughput and 3× higher read throughput compared to several widely used alternatives.”